Utilization and Transport of Mannitol in Olea europaea and Implications for Salt Stress Tolerance
Bibliographic record
Abstract
Mannitol is one of the primary photosynthetic products and the major phloem-translocated carbohydrate in Olea europaea L., an important crop in the Mediterranean basin. Uptake of mannitol in heterotrophic cell suspensions of O. europaea was shown to be mediated by a 1 : 1 polyol : H+ symport system with a Km of 1.3 mM mannitol and a Vmax of 1.3 nmol min(-1) mg(-1) DW. Dulcitol, sorbitol and xylitol competed for mannitol uptake, whereas glucose and sucrose did not. Reverse transcription-PCR (RT-PCR) performed on mRNA extracted from cultured cells exhibiting high mannitol transport activity allowed the cloning of a partial O. europaea mannitol carrier OeMaT1. The Vmax of mannitol uptake and the amount of OeMaT1 transcripts increased along with polyol depletion from the medium, suggesting that the mannitol transport system may be regulated by its own substrate. Addition of 100-500 mM NaCl to cultured cells enhanced the capacity of the polyol : H+ symport system and the amount of OeMaT1 transcripts, whereas it strongly repressed mannitol dehydrogenase activity. Measurements of cell viability showed that mannitol-grown cells remained viable 24 h after a 250 and 500 mM NaCl pulse, whereas extensive loss of cell viability was observed in sucrose-grown cells. OeMaT1 transcripts increased throughout maturation of olive fruits, suggesting that an OeMaT is involved in the accumulation of mannitol during ripening of olive. Thus, mannitol transport and compartmentation by OeMaT are important to allocate this source of carbon and energy, as well as for salt tolerance and olive ripening.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".